Discover Awesome MCP Servers

Hugging Face MCP Server

Enables access to 200,000+ machine learning models through the Hugging Face Inference API. Supports text generation, image creation, classification, translation, speech processing, embeddings, and more AI tasks.

Self-Hosted Supabase MCP Server

A protocol server that enables interaction with self-hosted Supabase instances directly from development environments, allowing database introspection, management of migrations, auth users, and storage through MCP clients like IDE extensions.

mcp-arcgis-abbotsford

Enables querying City of Abbotsford open geospatial data (parcels, zoning, public works) via ArcGIS Feature Services, with tools to search datasets, query layers, and retrieve schema info.

MCPWeather

Enables processing and handling of weather-related data requests through the Model Context Protocol, providing meteorological information via a configured MCP server.

Kokoro TTS MCP Server

Enables text-to-speech conversion using the Kokoro TTS model, running fully locally with native JavaScript. Supports multiple voices, speed control, and integrates with MCP-compatible clients.

MCP Server Boilerplate

A comprehensive Model Context Protocol server template that implements HTTP-based transport with OAuth proxy for third-party authorization servers like Auth0, enabling AI tools to securely connect while supporting Dynamic Application Registration.

speed-to-lead-agent

MCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.

video-probe-mcp

Inspect local video and audio files with ffprobe, returning structured metadata such as format, duration, bitrate, and stream info.

UK Intelligence MCP Agent

Provides UK company lookups via Companies House, web scraping, and search tools designed to be context-efficient for AI agents. It includes integrated micro-payment monetization and supports data extraction and format conversion.

Windchill MCP Server

Comprehensive MCP server for PTC Windchill PLM, providing 64+ tools across 7 agents for part, document, change, workflow, project, data admin, and server management, with dynamic server switching.

sideshell

AI sidecar terminal — let Claude/Cursor run commands in a visible, persistent terminal you control.

Tickstem

Tickstem is a developer infrastructure platform for production SaaS apps. This MCP server lets you manage cron jobs and verify email addresses directly from your AI coding assistant — no dashboard needed. Register jobs, check execution history, verify emails for syntax, MX records, disposable domains, and role-based prefixes, all through natural language.

SchemaVault

MCP server for storing and retrieving database schema information for LLMs. Enables auto-loading Databricks Unity Catalog schemas and vector-based semantic search via configurable embedding service.

EventWhisper

Enables fast, scriptable access to Windows .evtx event logs for incident response and digital forensics. Supports filtering events by time windows, Event IDs, and keywords with field projection to reduce output size.

LATAM Compliance MCP

MCP server for AI agents selling into Latin America. 7 tools: country briefs (Mexico/Brazil/Colombia/Argentina/Chile/Peru/Costa Rica), Spanish + Portuguese templates, etiquette guides, follow-up cadences, LGPD/CFDI/Habeas Data compliance.

PIM Me

Azure PIM role activation MCP server allowing role activation through natural language, with support for saving frequently-used roles as favorites and activating them with a single command.

Xcode MCP Server

Provides programmatic access to Xcode functionality, enabling AI assistants to create, build, test, and manage iOS/macOS projects directly.

remote-mcp-server-authless

Deploys a remote MCP server on Cloudflare Workers without authentication, enabling users to define custom tools and connect to AI Playground or Claude Desktop.

AgentBTC MCP Server

Enables AI agents to perform Bitcoin and Lightning Network payments using a non-custodial, zero-trust architecture. It provides 13 tools for wallet management, invoice creation, and payment processing while keeping node credentials local to the user's machine.

Logo MCP

Intelligently extracts and analyzes website logos from multiple sources (favicon, Apple Touch icons, OpenGraph, CSS) with automatic quality scoring and format support. Provides detailed logo information and returns the best logo URL for any given website.

Newsnow MCP Server

Enables access to news from multiple sources including Google News and DuckDuckGo, supporting queries by location, category, site, date range, and providing top news headlines with detailed information.

EX MCP Server

Provides unified development tools including code analysis, debugging, refactoring, documentation, testing, and project automation through multiple LLM providers (KIMI, GLM, OpenRouter). Features agentic audit capabilities with multi-model consensus for finding issues and generating direct fixes.

Jokes MCP Server

Enables users to fetch jokes from various categories including Chuck Norris jokes and Dad jokes through a standardized MCP interface. Provides integration with Microsoft Copilot Studio and GitHub Copilot for AI-powered humor delivery.

clvoice-mcp

Voice input for Claude Code — speak Vietnamese or English; hold a hotkey, speak, release, and the transcribed text is cleaned and pasted into the input box for editing before sending.

SWMM-MCP

An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.

putio-mcp-server

Here are a few options for interacting with put.io using an MCP (presumably you mean a Media Center Platform like Kodi, Plex, or Emby): **Understanding the Challenge** Direct "MCP server" integration with put.io is not a standard feature offered by put.io itself. You'll typically need to use a combination of tools and techniques to bridge the gap. The core problem is that put.io is a cloud-based torrent downloader and storage service, while MCPs are designed to manage and play local media files. **Common Approaches** 1. **WebDAV (Most Common and Recommended):** * **How it works:** put.io provides a WebDAV interface. WebDAV allows you to mount your put.io storage as a network drive on your computer. Your MCP can then access the files as if they were local. * **Pros:** Relatively simple to set up. Works with most MCPs. No need to download files locally first. * **Cons:** Performance depends on your internet connection. May require some configuration. * **Steps:** 1. **Find your WebDAV URL:** Log into your put.io account on their website. Look for a section related to WebDAV or network drives. They will provide you with a URL (it usually looks something like `https://dav.put.io/`). 2. **Mount the WebDAV drive:** The process varies depending on your operating system: * **Windows:** Use "Map Network Drive" in File Explorer. Provide the WebDAV URL and your put.io username and password. * **macOS:** Use "Connect to Server" in Finder (Go -> Connect to Server). Enter the WebDAV URL (prefixed with `davs://` for secure connection, e.g., `davs://dav.put.io/`). * **Linux:** Use a WebDAV client like `davfs2` or `cadaver`. You'll need to install the client and configure it to mount the put.io WebDAV URL. 3. **Add the mounted drive to your MCP:** In your MCP (Kodi, Plex, Emby), add the mounted network drive as a source for your media library. 2. **put.io API and Custom Scripts/Plugins:** * **How it works:** put.io has a well-documented API. You can write custom scripts or plugins to interact with the API, download files, and then make them available to your MCP. * **Pros:** More control and flexibility. Can automate tasks like downloading new torrents and organizing files. * **Cons:** Requires programming knowledge. More complex to set up. * **Example:** You could write a Python script that uses the put.io API to check for new files in your account, download them to a local folder, and then trigger a library scan in your MCP. * **Kodi Add-ons:** There *may* be existing Kodi add-ons that use the put.io API. Search the Kodi add-on repository or online forums. Be cautious about installing add-ons from untrusted sources. 3. **Downloading Files Locally and Adding to MCP:** * **How it works:** Download the files from put.io to your computer using their website or a download manager. Then, add the downloaded files to your MCP's media library. * **Pros:** Simple if you only need to access a few files. No reliance on a constant internet connection during playback. * **Cons:** Time-consuming if you have a large library. Requires local storage space. Not ideal for streaming. **Specific MCP Considerations:** * **Kodi:** Kodi is very flexible and supports WebDAV natively. It also has a large community, so you might find add-ons or scripts that integrate with put.io. * **Plex:** Plex also supports WebDAV. However, Plex is more restrictive than Kodi in terms of custom plugins. * **Emby:** Emby supports WebDAV. Like Plex, Emby has a plugin system, but it might be more challenging to find a pre-built put.io plugin. **Important Notes:** * **Security:** When using WebDAV, make sure you are using a secure connection (HTTPS/DAVS). * **Performance:** Your internet connection speed will significantly impact the streaming performance when using WebDAV. * **put.io API Limits:** Be aware of the API rate limits if you are using the put.io API. * **Legality:** Ensure that you are only downloading and streaming content that you are legally entitled to access. **In summary, the WebDAV approach is generally the easiest and most practical way to integrate put.io with an MCP. If you need more advanced features or automation, you can explore the put.io API.** --- **Spanish Translation:** Aquí hay algunas opciones para interactuar con put.io usando un MCP (presumiblemente te refieres a una Plataforma de Centro de Medios como Kodi, Plex o Emby): **Entendiendo el Desafío** La integración directa de un "servidor MCP" con put.io no es una característica estándar ofrecida por put.io en sí. Normalmente, necesitarás usar una combinación de herramientas y técnicas para cerrar la brecha. El problema principal es que put.io es un servicio de descarga y almacenamiento de torrents basado en la nube, mientras que los MCP están diseñados para administrar y reproducir archivos multimedia locales. **Enfoques Comunes** 1. **WebDAV (El más Común y Recomendado):** * **Cómo funciona:** put.io proporciona una interfaz WebDAV. WebDAV te permite montar tu almacenamiento de put.io como una unidad de red en tu computadora. Tu MCP puede acceder a los archivos como si fueran locales. * **Pros:** Relativamente fácil de configurar. Funciona con la mayoría de los MCP. No es necesario descargar los archivos localmente primero. * **Contras:** El rendimiento depende de tu conexión a Internet. Puede requerir alguna configuración. * **Pasos:** 1. **Encuentra tu URL de WebDAV:** Inicia sesión en tu cuenta de put.io en su sitio web. Busca una sección relacionada con WebDAV o unidades de red. Te proporcionarán una URL (generalmente se ve algo así como `https://dav.put.io/`). 2. **Monta la unidad WebDAV:** El proceso varía según tu sistema operativo: * **Windows:** Usa "Conectar a unidad de red" en el Explorador de archivos. Proporciona la URL de WebDAV y tu nombre de usuario y contraseña de put.io. * **macOS:** Usa "Conectar al servidor" en Finder (Ir -> Conectar al servidor). Ingresa la URL de WebDAV (precedida por `davs://` para una conexión segura, por ejemplo, `davs://dav.put.io/`). * **Linux:** Usa un cliente WebDAV como `davfs2` o `cadaver`. Deberás instalar el cliente y configurarlo para montar la URL de WebDAV de put.io. 3. **Agrega la unidad montada a tu MCP:** En tu MCP (Kodi, Plex, Emby), agrega la unidad de red montada como una fuente para tu biblioteca multimedia. 2. **API de put.io y Scripts/Plugins Personalizados:** * **Cómo funciona:** put.io tiene una API bien documentada. Puedes escribir scripts o plugins personalizados para interactuar con la API, descargar archivos y luego ponerlos a disposición de tu MCP. * **Pros:** Más control y flexibilidad. Puede automatizar tareas como descargar nuevos torrents y organizar archivos. * **Contras:** Requiere conocimientos de programación. Más complejo de configurar. * **Ejemplo:** Podrías escribir un script de Python que use la API de put.io para buscar nuevos archivos en tu cuenta, descargarlos a una carpeta local y luego activar un escaneo de la biblioteca en tu MCP. * **Add-ons de Kodi:** *Puede* haber add-ons de Kodi existentes que usen la API de put.io. Busca en el repositorio de add-ons de Kodi o en foros en línea. Ten cuidado al instalar add-ons de fuentes no confiables. 3. **Descargar Archivos Localmente y Agregar al MCP:** * **Cómo funciona:** Descarga los archivos de put.io a tu computadora usando su sitio web o un administrador de descargas. Luego, agrega los archivos descargados a la biblioteca multimedia de tu MCP. * **Pros:** Simple si solo necesitas acceder a algunos archivos. No depende de una conexión a Internet constante durante la reproducción. * **Contras:** Consume mucho tiempo si tienes una biblioteca grande. Requiere espacio de almacenamiento local. No es ideal para la transmisión. **Consideraciones Específicas del MCP:** * **Kodi:** Kodi es muy flexible y admite WebDAV de forma nativa. También tiene una gran comunidad, por lo que podrías encontrar add-ons o scripts que se integren con put.io. * **Plex:** Plex también admite WebDAV. Sin embargo, Plex es más restrictivo que Kodi en términos de plugins personalizados. * **Emby:** Emby admite WebDAV. Al igual que Plex, Emby tiene un sistema de plugins, pero podría ser más difícil encontrar un plugin preconstruido para put.io. **Notas Importantes:** * **Seguridad:** Al usar WebDAV, asegúrate de estar utilizando una conexión segura (HTTPS/DAVS). * **Rendimiento:** La velocidad de tu conexión a Internet afectará significativamente el rendimiento de la transmisión al usar WebDAV. * **Límites de la API de put.io:** Ten en cuenta los límites de velocidad de la API si estás utilizando la API de put.io. * **Legalidad:** Asegúrate de que solo estás descargando y transmitiendo contenido al que tienes derecho legal a acceder. **En resumen, el enfoque WebDAV es generalmente la forma más fácil y práctica de integrar put.io con un MCP. Si necesitas funciones más avanzadas o automatización, puedes explorar la API de put.io.**

RedNote-MCP-Plus

Enables automated interaction and data scraping for Xiaohongshu (RedNote), including posting, liking, commenting, following, and retrieving user and note data.

mcp-data-angers

Enables searching, exploring, and querying Angers Loire Métropole open data datasets (mobility, urban services, environment) using natural language or direct tool calls.